CrawlJobs Logo
N
Neurotechnology Lab · IT - Software Development

Junior Natural Language Processing Researcher

Lithuania, Vilnius 1800.00 EUR / Month · Job Posted February 20, 2026
Apply Position
Job Link Share

Job Description

We are looking for a Junior Natural Language Processing (NLP) Researcher to join our Natural Language Processing team at Neurotechnology. Our NLP research team is dedicated to pushing the boundaries of natural language understanding and generation. We work on diverse topics such as developing advanced language models, text summarization, knowledge representation, and multilingual NLP. Our team has contributed to significant achievements, such as developing the first Large Language Model (LLM) for the Lithuanian language. As a Junior NLP Researcher at Neurotechnology, you will focus on theoretical and experimental aspects of NLP, conducting research to develop new methodologies and improve existing models. You will work alongside experienced researchers and engineers to create innovative solutions in the field of NLP.

Job Responsibility

  • Conduct research in NLP, including language modeling, text classification, named entity recognition, and machine translation
  • Develop, test, and improve novel NLP algorithms and deep learning architectures
  • Read and analyze recent research papers, applying new findings to internal research projects
  • Work with large-scale datasets to explore data-driven approaches in NLP
  • Train and fine-tune deep learning models using frameworks such as PyTorch and TensorFlow
  • Collaborate with engineers and domain experts to integrate research findings into real-world applications
  • Contribute to internal reports, research publications, and technical documentation

Requirements

  • Strong Python knowledge, particularly in working with text and natural language data
  • Solid understanding of Natural Language Processing concepts (e.g. tokenization, embeddings, transformers, attention mechanisms)
  • Familiarity with deep learning frameworks (PyTorch, TensorFlow)
  • Basic knowledge of statistical methods, probability, and linear algebra
  • Experience in reading and analyzing NLP-related research papers
  • Familiarity with NLP datasets and benchmarks (e.g., GLUE, CoNLL, SQuAD)
  • Ability to run experiments, analyze results, and iterate on findings
  • Strong analytical and problem-solving skills
  • Good communication and teamwork abilities

Nice to have

  • Experience with unsupervised or semi-supervised learning in NLP
  • Knowledge of reinforcement learning or self-supervised learning techniques
  • Experience working with cloud computing (AWS, GCP, or Azure)
  • Understanding of multilingual NLP challenges and solutions
  • Interest in publishing research papers or contributing to open-source projects

What we offer

  • Competitive salary and performance bonuses
  • Opportunities for academic growth – access to top-tier courses, conferences, and mentorship
  • Cutting-edge research environment
  • Flexible work arrangements
  • Health and wellness benefits – private health insurance options available
  • Cutting-edge hardware experience – gain hands-on experience working with A100/H100 GPUs
Neurotechnology Lab - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Junior Natural Language Processing Researcher

8 matching positions

Junior Natural Language Processing Engineer

We are looking for a Junior Natural Language Processing (NLP) Engineer to join o...
Location
Location
Lithuania , Vilnius
Salary
Salary:
1800.00 EUR / Month
Neurotechnology Lab
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong Python knowledge, particularly for working with text/voice data
  • Basic understanding of Natural Language Processing (tokenization, stemming, lemmatization, NER)
  • Familiarity with at least one NLP or ML library (e.g., SpaCy, NLTK, scikit-learn, Hugging Face)
  • Some experience with data preprocessing and feature engineering for text/voice
  • Passion for AI, deep learning, and language models
  • Basic mathematical understanding of ML concepts (vectors, probability, linear algebra)
  • Familiarity with Jupyter Notebook and version control (Git)
  • Ability to learn quickly and adapt to new tools and techniques
  • Good communication skills and willingness to work in a team
Job Responsibility
Job Responsibility
  • Contribute to advanced NLP projects
  • Conduct specialized research on the Lithuanian language, as well as other languages
  • Collaborate with a team of experts in the field
What we offer
What we offer
  • Competitive salary and performance bonuses
  • Career growth and learning – access top-tier courses, training programs, and mentorship
  • Team events and fun perks – annual company events, team buildings, and game nights
  • Flexibility that works for you – flexible work arrangements
  • Health-related bonuses – private health insurance arrangements available
  • Cutting-edge hardware experience – gain hands-on experience working with A100/H100 GPUs
Read More
Arrow Right

Applied Scientist II

Alexa International is looking for passionate, talented, and inventive Senior Ap...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
amazon.de Logo
Amazon Pforzheim GmbH
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Job Responsibility
Job Responsibility
  • Analyze, understand, and model customer behavior and the customer experience based on large-scale data
  • Build novel online & offline evaluation metrics and methodologies for multimodal personal digital assistants
  • Fine-tune/post-train LLMs using advanced and innovative techniques like SFT, DPO, Reinforcement Learning (RLHF and RLAIF) for supporting model performance specific to a customer’s location and language
  • Quickly experiment and set up experimentation framework for agile model and data analysis or A/B testing
  • Contribute through industry-first research to drive innovation forward
  • Drive cross-team scientific strategy and influence partner teams on LLM evaluation frameworks, post-training methodologies, and best practices for international speech and language systems
  • Lead end-to-end delivery of scientifically complex solutions from research to production, including reusable science components and services that resolve architecture deficiencies across teams
  • Serve as a scientific thought leader, communicating solutions clearly to partners, stakeholders, and senior leadership
  • Actively mentor junior scientists and contribute to the broader internal and external scientific community through publications and community engagement
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

Location
Location
Greece , Athens
Salary
Salary:
60000.00 - 65000.00 EUR / Year
signifytechnology.com Logo
Signify Technology
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience designing, building, and deploying production-grade machine learning solutions
  • Strong Python development skills
  • Hands-on experience with Large Language Models (LLMs), LangChain, and Hugging Face Transformers
  • Experience with deep learning frameworks such as PyTorch
  • Strong knowledge of machine learning libraries including Scikit-learn and XGBoost
  • Experience working with NLP frameworks such as spaCy and NLTK
  • Strong understanding of the end-to-end machine learning lifecycle, including model training, validation, deployment, and monitoring
  • Experience collaborating across engineering, product, and business teams to deliver AI-driven solutions
  • Passion for staying current with emerging AI technologies and applying them to real-world business challenges
  • Strong communication skills with the ability to explain complex technical concepts to a range of stakeholders
Job Responsibility
Job Responsibility
  • Design, develop, and deploy advanced AI and machine learning solutions that support strategic business objectives
  • Lead the research, development, and optimisation of machine learning models for production environments
  • Build, fine-tune, and evaluate Large Language Models (LLMs) and modern AI applications using tools such as LangChain and Hugging Face
  • Develop solutions using Python alongside deep learning, machine learning, and natural language processing frameworks
  • Collaborate with software engineering, data, and product teams to identify opportunities for AI-driven innovation
  • Research and evaluate emerging AI technologies, ensuring the business remains at the forefront of industry developments
  • Monitor, maintain, and optimise model performance to ensure reliability and scalability in production
  • Translate business challenges into practical AI solutions, balancing speed of delivery with technical excellence
  • Mentor junior engineers and provide technical leadership across AI and machine learning initiatives
  • Champion best practices for model development, experimentation, deployment, and ongoing optimisation
  • Fulltime
Read More
Arrow Right

Assistant Vice President Data Science and Gen AI

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-d...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus.
  • 8+ years of experience in machine learning and deep learning, with a focus on generative AI solution design and development.
  • Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Strong background of Prompt Engineering, building agentic AI / AI Agents, API / MCPs for large scale automations in banking domain
  • Experience with natural language processing (NLP) and natural language generation (NLG).
  • Proven track record of building and deploying generative models based solutions in production environments particularly using RAG frameworks.
  • Solid understanding of machine learning algorithms, data structures, and software engineering principles.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
  • Bachelors/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Design, Develop and deploy generative models for various applications in Fraud Operations.
  • RAG Frameworks – Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements.
  • Design and Develop POC / full scale solutions on various automations in Operations area including Conversational AI, Muti Agent Systems for multiple services.
  • Responsible for development and deployment of Machine Learning / Deep Learning based models
  • Collaborate with cross-functional team to understand business requirements and translate them into AI solutions.
  • Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field.
  • Optimize and fine-tune models for performance, scalability, and robustness.
  • Implement and maintain AI pipelines and infrastructure to support model training and deployment.
  • Perform data analysis and preprocessing to ensure high-quality input for model training.
  • Implement and maintain AI pipelines and infrastructure to support model training and deployment. - Perform data analysis and preprocessing to ensure high-quality input for model training.
  • Fulltime
Read More
Arrow Right

Assistant Vice President - Data Science and Fraud Analytics

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-d...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in computer science, Data Science, Machine Learning, or a related field
  • A Ph.D. is a plus
  • 8+ years of experience in machine learning and deep learning, with a focus on generative AI solution design and development
  • Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras
  • Strong background of Prompt Engineering, building agentic AI / AI Agents, API / MCPs for large scale automations in banking domain
  • Experience with natural language processing (NLP) and natural language generation (NLG)
  • Proven track record of building and deploying generative models based solutions in production environments particularly using RAG frameworks
  • Solid understanding of machine learning algorithms, data structures, and software engineering principles
  • Excellent problem-solving skills and the ability to work independently and as part of a team
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
Job Responsibility
Job Responsibility
  • Design, Develop and deploy generative models (e.g., GPT, GAN, VAEs) for various applications
  • RAG Frameworks – Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements
  • Design and Develop POC / full scale solutions on various automations in Operations area including Conversational AI, Muti Agent Systems for multiple services
  • Responsible for development and deployment of Machine Learning / Deep Learning based models
  • Collaborate with cross-functional team to understand business requirements and translate them into AI solutions
  • Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field
  • Optimize and fine-tune models for performance, scalability, and robustness
  • Implement and maintain AI pipelines and infrastructure to support model training and deployment
  • Perform data analysis and preprocessing to ensure high-quality input for model training
  • Mentor junior team members and provide technical guidance
  • Fulltime
Read More
Arrow Right

AI Machine Learning Scientist

Location
Location
United States of America , INDIANAPOLIS
Salary
Salary:
Not provided
elevancehealth.com Logo
Elevance Health
Expiration Date
July 15, 2026
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study
  • Four (4) years of Information Technology (IT) experience, or related experience
  • Experience with Machine Learning techniques including supervised learning (linear regression and classification) and unsupervised learning (clustering)
  • Experience with Deep Learning techniques including convolutional neural networks, recurrent neural networks, and reinforcement learning
  • Experience using Python programming language
  • Experience with big data technologies including Hadoop, Apache Spark, and AWS
  • Experience with relational database management and SQL
  • Experience with Natural Language Processing (NLP) techniques including sentiment analysis and text classification
  • Experience with statistical analysis and application of statistical methods
  • Employer will accept a Master’s degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study and Two (2) years of Information Technology (IT) experience, or related. Must have the skills listed above.
Job Responsibility
Job Responsibility
  • Leverage Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement
  • Engage with product teams and business stakeholders to align on project objectives and ensure AI models meet business goals
  • Lead initiatives for developing Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) LLM models
  • Play a critical role in steering the strategic direction for ML, NLP, LLM, and algorithm development within the company’s AI/ML team, collaborating with distinguished experts in AI/ML modeling, ML engineering, data science, and data engineering
  • Define and articulate roadmaps for AI/ML model development, acting as a key figure in AI-driven transformation to deliver value internally and to customers
  • Design and develop customized ML, GenAI, NLP, and LLM models for both batch and stream processing-based AI/ML pipelines. This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as well as Service Level Agreement (SLA) specifications
  • Work closely with MLOps, machine learning engineers, and software engineers to ensure seamless integration of machine learning models into production systems
  • Collaborate with the MLOps team to create and maintain strong evaluation solutions and tools that assess model performance, accuracy, consistency, and reliability during development and UAT
  • Mentor junior team members and influence the strategic direction of our ML and data science projects.
What we offer
What we offer
  • merit increases
  • paid holidays
  • Paid Time Off
  • incentive bonus programs
  • medical
  • dental
  • vision
  • short and long term disability benefits
  • 401(k) +match
  • stock purchase plan
  • Fulltime
!
Read More
Arrow Right

Avp Fraud Analytics - Data Science & Gen Ai

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-d...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in computer science, Data Science, Machine Learning, or a related field
  • 8+ years of experience in machine learning and deep learning, with a focus on generative AI solution design and development
  • Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras
  • Strong background of Prompt Engineering, building agentic AI / AI Agents, API / MCPs for large scale automations in banking domain
  • Experience with natural language processing (NLP) and natural language generation (NLG)
  • Proven track record of building and deploying generative models based solutions in production environments particularly using RAG frameworks
  • Solid understanding of machine learning algorithms, data structures, and software engineering principles
  • Excellent problem-solving skills and the ability to work independently and as part of a team
  • Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
  • Bachelors/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Design, Develop and deploy generative models (e.g., GPT, GAN, VAEs) for various applications
  • RAG Frameworks – Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements
  • Design and Develop POC / full scale solutions on various automations in Operations area including Conversational AI, Muti Agent Systems for multiple services
  • Responsible for development and deployment of Machine Learning / Deep Learning based models
  • Collaborate with cross-functional team to understand business requirements and translate them into AI solutions
  • Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field
  • Optimize and fine-tune models for performance, scalability, and robustness
  • Implement and maintain AI pipelines and infrastructure to support model training and deployment
  • Perform data analysis and preprocessing to ensure high-quality input for model training
  • Mentor junior team members and provide technical guidance
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...
Location
Location
United States , Thousand Oaks
Salary
Salary:
158606.00 - 200052.00 USD / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree (or foreign equivalent) in Computer Science, Statistics, Electrical Engineering, Mathematics, Bioengineering or a related field and 4 years of experience in the job offered or in a Data Scientist related – Occupation
  • 4 years of experience in the following: 1) Programming skills in Python including experience with scientific computing and machine learning libraries including pandas, NumPy, scikit-learn, XGBoost, LightGBM, TensorFlow and PyTorch
  • 2) Applying supervised and unsupervised learning techniques to real-world problems, including experience with Random Forest, XGBoost, ensemble models, and deep learning architectures
  • 3) Version control (Git), containerization and orchestration tools including Docker and Kubernetes, and cloud environments including AWS or GCP
  • 4) Involved with data science platforms including Databricks and SageMaker
  • 5) Using statistical methods industry including regression modeling, hypothesis testing, Bayesian methods, Forecasting techniques and time-series analysis
  • 6) Building ETL (Extract, Transform, Load) pipelines for handling large-scale, high-dimensional datasets, familiarity with healthcare data structures and data types
  • 7) Experience with software DevOps CI/CD tools and GitLab
  • 8) Experience developing and fine-tuning Natural Language Processing (NLP) models, including work with architectures such as BERT, ALBERT, GPT, and other transformer-based models.
Job Responsibility
Job Responsibility
  • Lead efforts with Amgen business leaders to identify, explore and develop transformative AI and ML solutions to enable access to computational tools and data within Amgen, and ultimately improve patient outcomes across multiple therapeutic areas
  • Utilize Cloud Services to collect, store, preprocess, and analyze large datasets from various sources across Amgen
  • Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms
  • Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment
  • Facilitate model deployment to production, including monitoring and maintenance of ML models, put in place metrics to assess accuracy and drift
  • Define model evaluation and validation strategies, train and test models, and analyze and resolve errors and biases in models
  • Lead and develop standards, processes, and best practices for the team across the machine learning-based solution implementation lifecycle
  • Involved in technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion.
What we offer
What we offer
  • stock
  • retirement
  • medical
  • life and disability insurance
  • eligibility for an annual bonus or for sales roles, other incentive compensation
  • Retirement and Savings Plan with generous company contributions
  • group medical, dental and vision coverage
  • life and disability insurance
  • flexible spending accounts
  • discretionary annual bonus program
  • Fulltime
Read More
Arrow Right